Paper Citation Record · LEDGER

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.14781.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.14781 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:35.269339Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T20:57:23.314837Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0a93cd73-86ba-4d1e-9729-1e33082a474d · inbound

Investigating the Impact of Data Selection Strategies on Language Model Performance cites this paper.

Investigating the Impact of Data Selection Strategies on Language Model Performance Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:49:32.286703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd847f73-7102-49d5-ac6f-f371f12ea372 · inbound

STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings cites this paper.

STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:35.269339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49876dfe-dece-44e3-b0c7-4a02b78e18f9 · inbound

Automatic Calibration for Membership Inference Attack on Large Language Models cites this paper.

Automatic Calibration for Membership Inference Attack on Large Language Models Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Reference 37

Resolution: malformed identifier; no resolver link, observed 2026-08-15T23:59:23.388368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e7b95e0-4ba4-4d80-8a4b-3bf523483d1a · inbound

Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering cites this paper.

Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:49.161581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 637cefb0-2249-407d-885f-c228f6cf9551 · inbound

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework cites this paper.

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:21.454509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fc4b8d2-cf88-4f0a-b520-a16a19c6c187 · inbound

Investigating Training Data Detection in AI Coders cites this paper.

Investigating Training Data Detection in AI Coders Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:53.845119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe8683d4-a5ee-4a1b-8324-728973be40e7 · inbound

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders cites this paper.

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:31:01.654876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8181a8a-0d7b-4f30-96d3-61fca2a7470a · inbound

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models cites this paper.

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.317104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.